Experienced Quantitative Research Scientist - Princeton or NYC- PHD

Liberty Personnel Services, Inc.; Princeton (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

Liberty Personnel Services, Inc. is seeking an Experienced Quantitative Research Scientist for Princeton or NYC, with a PhD and a track record in high‑level scientific research.

You will join a team of world‑class scientists and engineers tackling challenging problems in finance. The role emphasizes analytical and mathematical excellence, handling large datasets and programming, with openness to learning finance.

Qualifications

• PhD in a scientific or engineering discipline, or equivalent experience.
• Proven track record in high-level scientific research.
• Exceptional analytical and mathematical skills.
• Proficiency in handling large datasets and programming.
• Open-mindedness towards learning finance (no prior financial expertise needed).

Skills

Analytical skills

Mathematical skills

Education

PhD in a scientific or engineering discipline

Tools

Programming

Job description

Experienced Quantitative Research Scientist - Princeton or NYC- PHD

Experienced Quantitative Research Scientist - Princeton or NYC- PHD

Elevate your career by joining an innovative team where your expertise will directly influence success and growth. Collaborate with a diverse group of world-class scientists and engineers to tackle some of the toughest challenges in finance. Our dedication to curiosity, creativity, and intellectual honesty sets us apart, providing every team member the chance to make a meaningful impact. With competitive compensation, top-tier benefits, and a culture that encourages continuous learning, this is your chance to be part of an esteemed company that values and rewards your contributions.

Key Qualifications

• PhD in a scientific or engineering discipline, or equivalent experience.
• Proven track record in high-level scientific research.
• Exceptional analytical and mathematical skills.
• Proficiency in handling large datasets and programming.
• Open-mindedness towards learning finance (no prior financial expertise needed).

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